DBSCAN
DBSCAN (Density-based spatial clustering of applications with noise), is a density-based clustering algorithm used for examining spatial data.[1]
Motivation
DBSCAN is particularly effective for tasks like class identification on a spatial context. The DBSCAN algorithm can find out any arbitrary shaped cluster without getting effected by noise.[1]